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For Companies At a Glance
- Tasks: Support users by resolving queries and improving data integration.
- Company: Join a dynamic team focused on enhancing decision-making through data.
- Benefits: Enjoy remote work, a £5,000 training allowance, and private medical coverage.
- Why this job: Be part of a collaborative culture that values innovation and user empowerment.
- Qualifications: Background in tech fields with skills in Python, SQL, and APIs required.
- Other info: Opportunity to work closely with product engineers and contribute to platform improvements.
The predicted salary is between 43000 - 67000 £ per year.
Location: London/Hybrid
Salary: £50,000 to £60,000 plus benefits
The Role
As the Data Support Engineers will support and empower users across the platform user base. Our goal is to facilitate seamless integration of data, enabling applications that drive superior decision-making within organisations. You will work closely with product engineers, implementation teams, and fellow support engineers to ensure user issues are addressed promptly and effectively. Your role involves resolving user queries and distilling observed trends into feature requests.
Core Responsibilities
- Serve as a technical liaison for Data Engineers, providing first-line support and guidance.
- Cultivate an in-depth understanding system application, to efficiently address user inquiries.
- Work with product engineers to diagnose, and resolve bugs reported by users, improving platform stability and performance.
- Contribute to documentation and clarifying complex concepts where needed.
What We Require
- Background in Computer Science, Engineering, Information Systems, or another technical field.
- Experience in Python and Pyspark is essential, with additional skills in SQL, Java, TypeScript/JavaScript useful.
- Knowledge of APIs, RESTful services, and development best practices, including code branching and testing.
- Exceptional English writing and communication skills.
Benefits
- £5,000 a year professional development training allowance.
- Remote working.
- Private medical scheme.
Data Support Engineer L2 employer: Hexegic
Contact Detail:
Hexegic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Support Engineer L2
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Pyspark, and SQL. Having hands-on experience or projects that showcase your skills in these areas can set you apart during the interview process.
✨Tip Number 2
Understand the role of a Data Support Engineer and be prepared to discuss how you would handle user queries and technical issues. Think of examples from your past experiences where you've successfully resolved similar challenges.
✨Tip Number 3
Research StudySmarter's platform and its features. Being knowledgeable about our products will not only help you answer questions more effectively but also demonstrate your genuine interest in the company during interviews.
✨Tip Number 4
Prepare to discuss your communication skills, especially in technical contexts. Since you'll be liaising with various teams, showcasing your ability to explain complex concepts clearly will be crucial in the selection process.
We think you need these skills to ace Data Support Engineer L2
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data support, programming languages like Python and Pyspark, and any technical skills that align with the job description. Use keywords from the job listing to catch the employer's attention.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role of Data Support Engineer L2. Mention specific experiences where you've successfully resolved user issues or contributed to documentation, showcasing your problem-solving skills.
Showcase Communication Skills: Since exceptional English writing and communication skills are required, consider including examples of how you've effectively communicated complex technical concepts to non-technical users in your application materials.
Highlight Relevant Projects: If you have worked on projects involving APIs, RESTful services, or any relevant technologies, be sure to include these in your application. Describe your role and the impact of your contributions to demonstrate your hands-on experience.
How to prepare for a job interview at Hexegic
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, Pyspark, and any other relevant technologies during the interview. Be prepared to discuss specific projects where you used these skills, as this will demonstrate your capability to handle the technical aspects of the role.
✨Understand the Company’s Platform
Familiarise yourself with StudySmarter's platform and its functionalities. Being able to discuss how data integration impacts decision-making will show that you understand the core responsibilities of the Data Support Engineer role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in relation to user queries and bug resolution. Think of examples from your past experiences where you successfully diagnosed and resolved issues, and be ready to explain your thought process.
✨Communicate Clearly and Effectively
Since exceptional communication skills are a requirement, practice explaining complex technical concepts in simple terms. This will not only help you during the interview but also demonstrate your ability to serve as a liaison between technical teams and users.
